What if ChatGPT, Claude or your favorite coding model already understood exactly what you build, the frameworks you use, your preferred architecture, your documentation and the type of output you expect?

That is what I build.

I will create a custom AI powered development application for iOS, Android and/or desktop with Electron, based on the architecture behind m{ai}geXR.

This is not simply another chatbot wrapper.

It is a configurable AI development environment that can be specialized around a particular technology, platform, business, SDK, workflow or type of code generation.

Your application can be configured with custom system prompts, model settings, framework knowledge, development conventions and domain specific instructions so the AI consistently produces the type of results you actually want.

Instead of repeatedly telling an AI:

“Use Next.js.”

“Use our component architecture.”

“Generate TypeScript.”

“Follow this API.”

“Use our preferred libraries.”

“Structure the project this way.”

Those expectations can become part of the product itself.

The result is a purpose built AI assistant designed around your workflow.

The application can be customized for workflows such as:

• React and TypeScript development • Next.js application development • React Native and Expo • Shopify and headless commerce • Node.js and API development • Three.js and WebGL • Babylon.js • React Three Fiber • A Frame and WebXR • Internal APIs and SDKs • Design systems and component libraries • Game development workflows • Data visualization • Prototyping and rapid application development • Specialized company or industry workflows

Or we can build a completely different specialization around your own technology.

The goal is to create an actual development environment around the AI.

Depending on your project, your custom application can include:

• AI chat and instruction interface • Custom system prompts • Multiple AI models • OpenAI integration • Anthropic integration • Together AI integration • Model switching • Temperature and generation controls • Streaming responses • Integrated Monaco code editor • Generated code insertion • Live code editing • Code preview or execution environments • Framework specific prompts • Custom starter templates • Project scaffolding • Reusable prompt presets • Company specific development standards • API and SDK knowledge • Documentation aware generation • Custom branding and UI • Secure API key configuration • Persistent settings • Native mobile interfaces • Desktop application packaging

The AI can be designed to generate code, modify existing code, explain implementations, create prototypes, troubleshoot problems or guide users through a highly specialized workflow.

A major advantage of a custom AI application is context.

Your version can be designed around your:

• Documentation • Coding standards • API documentation • SDK • product architecture • component library • design system • prompt library • example projects • internal terminology • preferred frameworks

For projects where it makes sense, we can also discuss retrieval augmented generation and private knowledge sources so the assistant can work from information specific to your product or organization.

Imagine opening an app that already knows it should:

Use React Native + Expo.

Use Shopify Storefront GraphQL.

Follow your preferred project structure.

Generate TypeScript.

Use your existing components.

Follow your checkout architecture.

Generate code directly into an editor.

Explain what it changed.

That becomes much more useful than starting every conversation with a generic AI assistant from zero.

The original m{ai}geXR concept demonstrates this approach for 3D development.

Select a framework.

Describe the experience you want.

Generate code.

Edit it.

Run it.

Iterate with the AI.

But 3D is only one possible specialization.

The same architecture can be adapted for ecommerce, SaaS development, mobile applications, APIs, internal developer platforms, creative coding, visualization, education or your own custom development workflow.

Your custom AI application can be built for:

Native Swift and SwiftUI experience with an integrated AI and development workflow.

Native Kotlin and Jetpack Compose experience with configurable AI providers and development tooling.

Electron based application for macOS and Windows, ideal for a larger development workspace, code editor and desktop tools.

We can build for one platform or create a cross platform product strategy spanning multiple platforms.

Developers who want their own specialized coding assistant.

Startups building AI powered developer products.

Agencies creating proprietary development tools.

Companies with internal SDKs or APIs.

Platforms that want an AI interface around their ecosystem.

Teams that repeatedly generate similar types of applications or components.

Educators creating interactive programming environments.

Framework authors who want an AI development companion for their technology.

And founders with an idea for a specialized AI application who need someone to turn it into a working product.

You are not buying a collection of prompts.

You are building a custom software product around the AI.

The model is only one part of the system.

The interface, system prompt, context, editor, workflow, platform integrations and generated output can all be designed specifically around what your users need to accomplish.

That is the real opportunity: